Building on studies of the hybrid media system and attention economy, we develop concept amplification to explore how activities social media–based publics may enlarge paid a given person or message. We apply 2016 US election, asking who constituted Donald Trump’s enormous Twitter following that contributed his success at attracting attention, including from mainstream press. Using spectral clustering based network similarity, identify key demonstrate particular amplified presence in...

The Russian-sponsored Internet Research Agency’s (IRA) use of social media to influence U.S. political discourse is undoubtedly troubling. However, scholarly attention has focused on media, overlooking the role that news within country played in amplifying false, foreign messages. In this article, we examine articles system quoted IRA tweets through lens changing journalism practices hybrid system, focusing specifically gatekeepers’ as vox populi. We find a majority embedded were That is,...

This study focuses on the outpouring of sympathy in response to mass shootings and contestation over gun policy Twitter from 2012 2014 relates these discourses features shooting events. We use two approaches text analysis—hashtag grouping supervised machine learning (ML)—to triangulate an understanding intensity duration "thoughts prayers," control, rights discourses. conduct parallel time series analyses predict their temporal patterns shootings. Our reveal that while total number victims...

How did efforts that prompted the sharing of personal experiences sexual violence and harassment around #MeToo coalesce into calls for action across a range institutions communities? We argue trauma in digital spaces created network acknowledgment, which supported sustained nascent activism based on logic connective action. This article attempts to (a) understand temporal dynamics these different discourses within movement Twitter, (b) reveal accounts animating most prominent themes them,...

Social media amplification is both a mechanism to attract public attention and process of information diffusion shaped by the online social network structure. This study focuses on elites examines extent which traditional emerging partisan influencers engage in “network amplification.” Defined as like-minded sharing similar or/and mutual messages, highlights interrelation interaction between elite messages communication environment media. phenomenon worth investigating because...

How disinformation campaigns operate and how they fit into the broader social communication environment – which has been described as a 'disinformation order' [Bennett & Livingston, (2018). The order: Disruptive decline of democratic institutions. European Journal Communication, 33(2), 122–139] represent critical, ongoing questions for political communication. We offer thorough analysis highly successful account run by Russia's Internet Research Agency: so-called 'Jenna Abrams' account....

Abstract We propose a new way of imagining and measuring opinions emerging from social media. As people tend to connect with like-minded others express in response current events on media, media public opinion is naturally occurring, temporally sensitive, inherently social. Our framework for first samples targeted nodes large graph identifies homogeneous, interactive, stable networks actors, which we call “flocks,” based network structure, then measures presents flocks. apply this Twitter...

Marked by both deep interconnectedness and polarization, the contemporary media system in United States features news outlets social that are bound together, yet deeply divided along partisan lines. This article formally analyzes communication flows surrounding mass shootings hybrid polarized U.S. system. We begin integrating literature with agenda setting framing theories then conduct automated text analysis time series modeling. After accounting for exogenous event characteristics, results...

We propose a three-pronged framework to study discourses surrounding social media activism initiated by networked counterpublics: personalized expressions that share stories and support, demands for changes address systematic problems, contentions between various actors perspectives. Situating our analysis in related sexual violence gender justice on Twitter, Facebook, Instagram, Reddit, we use supervised machine learning quantify three discourses—networked acknowledgment, calls action,...

This study investigates the influence of structural empowerment and psychological capital on nurse work engagement within context rising healthcare demands nursing staff shortages. A cross-sectional descriptive involving 778 registered nurses from six tertiary hospitals in Hangzhou, China, was conducted. Data were collected using multiple tools, including a demographic questionnaire, CWEQ-II (Conditions for Work Effectiveness Questionnaire II), PCQ (Psychological Capital Questionnaire),...

Previous research has shown the importance of Donald Trump's Twitter activity, and that his following, in spreading message during primary general election campaigns 2015–2016. However, we know little about how publics who followed Trump amplified messages took shape. We take this case as an opportunity to theorize test questions assembly what call "attentive publics" social media. situate our study context current discussions audience formation, attention flow, hybridity United States'...

Abstract This study investigates how successful Russian Internet Research Agency (IRA) Twitter accounts constructed the followings that were central to their disinformation campaigns around 2016 U.S. presidential election. Treating an account’s social media following as both ego network and audience critical for information diffusion influence accrual, we situate IRA accounts’ accumulation of followers in ideologically polarized, attention driven, asymmetric political communication system....

To explore the relationships between work environment, value congruence and nurses' outcomes; as well to test moderating effects of congruence.A poor nursing environment in most mainland China has negatively influenced job satisfaction, burnout turnover intention. New insights such improving should be proposed better foster nurses.Cross-sectional data were selected from Chinese Nurses' Environment Work Status study. In total, 19149 valid samples collected. Hierarchical regression analyses...

The following topics are dealt with: software maintenance; source code (software); program diagnostics; data mining; Java; quality; debugging; learning (artificial intelligence); metrics; public domain software.

Former President Donald Trump is well-known for dominating the attention-driven hybrid media system through his controversial tweets, which spurred social user engagement and news attention. The removal of from Twitter/X raises questions about continued ability to drive attention alt-tech platform, Truth Social. Our analysis shows that retweets "retruths" gained predicted related across political spectrum. However, our results also point shifts in attention, including diminished direct...

Quantifying extracellular and intracellular contributions to Cr(VI) reduction is crucial for understanding bacterial Cr(VI)-reduction mechanisms. However, this contribution under different oxygen conditions remains largely unexplored. This study quantified the extracellular/intracellular aerobic anaerobic using

Centering on social media’s public- and profit-oriented nature, this study theorizes how media users are empowered constrained when participating in platform governance through user-initiated expressions platforms. The empirical analysis focuses user responses before after Elon Musk’s official acquisition of Twitter, utilizing cluster topic modeling to examine the volume content related discourses among different Twitter groups. Our results point constraint governance. Although a diverse set...

Social networks have attracted remarkable attention and it is of great importance to understand the process opinion spreading in popular social networks. However, most research on diffusion cannot be applied directly investigate networks, where relationships are heterogeneous structural balance a common phenomenon. In this paper, we propose models characterize signed under impact balance. We classify users into different types according numbers their positive links, define term user...

We experimentally demonstrate a high-speed phosphorescent white light emitting diode (LED) visible communication (VLC) system without utilizing an optical blue filter. Here, the response is equalized by using proposed analog equalizers. The 3 dB bandwidth of VLC link could be extended from to 132 MHz, which allows 330 Mbit/s non-return-to-zero on–off keying (NRZ-OOK) data transmission with bit error ratio (BER) 7.2×10 10 and 672 64-quadrature amplitude modulation (64-QAM) BER 3.2×10 3. These...

As the requirements of smart, reliable and precise location for a vehicle, model fusion algorithm with big data selection accuracy correction is established to achieve low-cost location. In this paper, simple inertial navigation various positioning system sources different errors are intelligently selected, Kalman filtering used fuse information by function model, four kinds GPS, SINS, DR TDOA chosen simulate algorithm. The simulation results in MATLAB environment show that proposed...

The GaN-based blue light-emitting diodes (LEDs) with superlatticelike strain relief layer (SRL) and without SRL were fabricated by metal organic vapor phase epitaxy (MOVPE). luminescence characteristics of the different LEDs measured experimentally calculated theoretically. It is demonstrated that efficiency droop suppressed using due to reduction polarization electric field in quantum wells. This beneficial mitigation LED light output power-injection current (L-I) nonlinearity. Furthermore,...

Social media platforms have been used by various actors to bypass traditional gatekeepers share messages, draw attention, and accumulate influence. We study how from peripheral groups gain influence on social their behaviors evolve over time. Integrating online strategic performance hybrid literature, we hypothesize that perform group identities spur audience reaction news amplification, which they further adapt performance. By analyzing 242 QAnon Twitter accounts using topic modeling time...

Positioning accuracy is a strong support for autonomous driving and intelligent transportation. In this paper, multi-position sources single target positioning model based on big data selection BP neural network fusion proposed. The can reasonably efficiently fuse information through the synergies of preprocessing, correction, to improve accuracy. Firstly, specific error elimination algorithm proposed in preprocessing stage filter before fusion. Secondly, image positioning, which provide...

ABSTRACTExtending literature on political polarization and expression, we study patterns of polarized expression by vocal partisans from opposing camps social media. Specifically, argue that partisan can be characterized three divergences: 1) different thematic emphases the same issue; 2) response to real-world events 3) a temporal disconnect at aggregate level. Highlighting how online groups is animated discrete concerns exhibits temporality, divergences in not only reflect explain existing...